code: def get_synthetic_dataloaders(
      args, benchmark_config, model_specs, num_replicas=1, rank=0
  ):
      """Return synthetic dataloaders for training, testing and validation."""
      return get_dataloaders(
          get_synthetic_datasets(),
          benchmark_config,
          model_specs,
          num_replicas,
          rank,
      )
  
file_path: fairscale/benchmarks/datasets/wikitext2_data.py
imports: from collections import namedtuple
  from distutils.version import LooseVersion
  import io
  import operator
  import tempfile
  import torch
  from torch.utils.data import DataLoader
  from torch.utils.data.distributed import DistributedSampler
  import torchtext
  from torchtext.data.utils import get_tokenizer
  from torchtext.utils import download_from_url, extract_archive
label_desc: Use image node_id 7 for calling a global function with example usage: get_synthetic_dataloaders(args, benchmark_config, model_specs, num_replicas, rank) and returns: get_dataloaders